Humanoid Robotics

Code the robot workforce. Master bipedal locomotion, balance control, and human-robot interaction for general-purpose androids.

Humanoid robots are entering factories and homes. This course tackles the hardest problem in robotics: bipedal movement. You will learn the physics of the Inverted Pendulum model for balance. Master Zero Moment Point (ZMP) and Model Predictive Control (MPC) to make robots walk without falling. We also cover manipulation (using hands) and Human-Robot Interaction (HRI) safety protocols. Prepare to program the next generation of Tesla Bots or Boston Dynamics platforms.

✅ 100% Free & Lifetime Access

⏱️ 5-Minute Lessons (Bite-sized learning)

🚀 21-Lesson Path (Independent modules)

📱 Mobile Friendly (Learn anywhere)

Bot Labs

Start Learning

Secure Enrollment via SSL

Complete Course Syllabus

1

The Humanoid Form

Why legs? Degrees of freedom and kinematics.
2

Balance Logic

Inverted Pendulum models and keeping upright.
3

Walking Gait

Generating footsteps and ZMP trajectories.
4

Manipulation

Whole-body control for lifting and carrying.
5

Safety & HRI

Collision detection and working near humans.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary

$130k - $200k

Career Paths

Humanoid Control Eng $140k-$210k

Robotics AI Researcher $150k-$220k

Motion Planning Eng $135k-$190k

What You Will Learn

Implement bipedal walking algorithms using ZMP/MPC

Design feedback loops for dynamic balance and fall recovery

Program manipulation tasks for dual-arm humanoids

Ensure safety in Human-Robot Interaction scenarios

Simulate humanoid physics in MuJoCo or Gazebo

Skills You Will Gain

Control Theory Bipedal Locomotion Kinematics HRI Safety Reinforcement Learning

Who Is This For

Robotics Engineers

Control Theorists

AI Devs

Prerequisites

Robotics

Control Systems